Method and system for sampling and converting vehicular network data

Abstract

A method for sampling and converting vehicular network data is executed by a vehicle host. The vehicle host selects one of multiple data signals from an original signal, and establishes a data table. The vehicle host further determines whether the original signal includes any data signal remaining unselected. When the original signal does not include any data signal remaining unselected, the vehicle host differentially samples data in the data table corresponding to other time sequences by using the data in the data table corresponding to a first time sequence as a reference to generate a differential data table, and compresses the differential data table. The method can reduce the amount of data by performing differential sampling, so that the compression ratio of the data can be effectively improved, and the delay of data transmission can be avoided.

Description

BACKGROUND OF THE INVENTION1. Field of the Invention[0001]The invention relates to a method and a system for sampling and converting vehicular network data, and more particularly to a method and a system for sampling and converting vehicular network data to improve data compression rate.2. Description of the Related Art[0002]Multiple electronic devices can communicate with each other by transmitting data to one another. In the process of data transmission, due to limitation of the software and the hardware technologies, data can only be transmitted at a limited speed.[0003]Therefore, in computer science and information theory, a data compression technology has been developed to achieve the purpose of transmitting more data at the limited speed. The data compression technology refers to a process of representing information according to a specific encoding method, and encoding the information using fewer bits of data than the original representation. Namely, the original data is comp...

AI Technical Summary

Benefits of technology

The present invention provides a method and system for sampling and converting vehiicular network data to be applied to Lidar data compression and reducing the complexity of the processor pre-operation. This involves differential sampling of data in a data table and compressing and uploading the data using a reduced amount of data and increased compression ratio of the original signal. This method can also be applied to Lidar data. The technical effects include reducing data transmission delays and complexity.

Problems solved by technology

In the process of data transmission, due to limitation of the software and the hardware technologies, data can only be transmitted at a limited speed.

However, with the development of the technology, the amount of the data, such as high-definition digital audio and video files, is now getting larger and larger.

Therefore, a common data compression method is not enough to compress the data for smoothly transmitting without delay.

Namely, the time for transmitting the data will be too long, resulting in a delay in the data transmission.

1. The compression method can only compresses the CAN data, but cannot be applied to Light Detection and Ranging (Lidar) data compression.

2. Since the compression method groups the CAN data in multiple groups by using one Byte as the unit and compresses the groups, the complexity of the processor pre-operation is increased.

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